Chronic Low Back Pain Occurring in Association With Hypermobility Spectrum Disorder and Ehlers-Danlos Syndrome

An investigation of body awareness, fatigue, physical fitness, and musculoskeletal problems in young adults with hypermobility spectrum disorder

BACKGROUND AND OBJECTIVES

Hypermobility Spectrum Disorder (HSD) is associated with excessive joint range of motion and the presence of musculoskeletal symptoms. The objective of this study was to examine body awareness, physical fitness parameters, fatigue levels, and musculoskeletal disorders in young adults with HSD and compare them with those without HSD.

METHODS

Young individuals in the age range of 18-24 years were included in the study. Joint hypermobility of individuals was determined by the Beighton Score. Evaluations were made using the Body Awareness Questionnaire, the Fatigue Severity Scale, the Eurofit Physical Fitness Test Battery, and the Cornell Musculoskeletal Discomfort Questionnaire.

RESULTS

A total of 94 healthy individuals (74 females, 20 males, mean age 21.44 years, SD ± 1.19 years), 47 with HSD and 47 without HSD, were included in the study. It was concluded that body awareness and fatigue levels were similar in two groups (p > 0.05). When physical fitness parameters were examined, there was a significant difference between the two groups in Sit and Reach test and the dominant side grip strength (p < 0.05). There was a significant difference between the two groups in the neck, back, dominant wrist, and total musculoskeletal problems (p < 0.05).

CONCLUSION

It was concluded that young individuals with HSD had more flexibility, lower grip strength, more pain especially in the neck and back region, and more musculoskeletal disorders in general. Joint hypermobility is a factor to be considered in evaluating functional performance in these individuals.

Genomic Characterization by Whole-Exome Sequencing of Hypermobility Spectrum Disorder

No genetic basis is currently established that differentiates hypermobility spectrum disorders (HSD) from hypermobile Ehlers–Danlos syndrome (hEDS). Diagnosis is entirely based on clinical parameters with high overlap, leading to frequent misdiagnosis of these two phenotypes. This study presents a landscape of DNA mutations through whole-exome sequencing of patients clinically diagnosed with generalized HSD. In this study, three genes (MUC3A, RHBG, and ZNF717) were mutated in all five patients evaluated. The functional enrichment analysis on all 1162 mutated genes identified the extracellular matrix (ECM) structural constituent as the primary overrepresented molecular function. Ingenuity pathway analysis identified relevant bio-functions, such as the organization of ECM and hereditary connective tissue disorders. A comparison with the matrisome revealed 55 genes and highlighted MUC16 and FREM2. We also contrasted the list of mutated genes with those from a transcriptomic analysis on data from Gene Expression Omnibus, with only 0.5% of the genes at the intersection of both approaches supporting the hypothesis of two different diseases that inevitably share a common genetic background but are not the same. Potential biomarkers for HSD include the five genes presented. We conclude the study by describing five potential biomarkers and by highlighting the importance of genetic/genomic approaches that, combined with clinical data, may result in an accurate diagnosis and better treatment.